Triple
T8331728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | One Day in the Life of Ivan Denisovich |
E195087
|
entity |
| Predicate | includedInSchoolCurricula |
P62594
|
FINISHED |
| Object | yes |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: yes | Statement: [One Day in the Life of Ivan Denisovich, includedInSchoolCurricula, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includedInSchoolCurricula Context triple: [One Day in the Life of Ivan Denisovich, includedInSchoolCurricula, yes]
-
A.
curriculumIncluded
chosen
Indicates that a particular subject, topic, or component is part of a defined curriculum or course of study.
-
B.
usesCurriculum
Indicates that one entity adopts or applies a particular curriculum as the basis for its instruction, training, or educational activities.
-
C.
widelyStudiedIn
Indicates that something has been extensively researched, analyzed, or examined within a particular field, domain, or context.
-
D.
curriculumType
Indicates the classification or category of curriculum associated with an educational program or course.
-
E.
usedInEducationIn
Indicates that something is employed or applied within educational contexts in a particular place or institution.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca82e87f2c8190bdb71ee29dfc642d |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7fbb2a3881909ef09ffcfcbb6e77 |
completed | March 31, 2026, 8:03 a.m. |
| PD | Predicate disambiguation | batch_69cb70c3231c81909e3d463192c9de22 |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 5:56 p.m.